{"id":"W4401928419","doi":"10.18280/jesa.570426","title":"Applications of Artificial Intelligence for Smart Conveyor Belt Monitoring Systems: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Journal Européen des Systèmes Automatisés","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conveyor belt; Belt conveyor; Computer science; Systems engineering; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009114245,0.0009652348,0.003683275,0.0007729553,0.0001640555,0.0003316423,0.0009083804,0.0003633851,0.00001458397],"category_scores_gemma":[0.0001781348,0.0008364636,0.001147866,0.001216274,0.00009938893,0.0002205076,0.0001203786,0.001050351,0.0002115661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007095541,"about_ca_system_score_gemma":0.0002582858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001106979,"about_ca_topic_score_gemma":9.613002e-7,"domain_scores_codex":[0.9943415,0.0002632732,0.00370993,0.0004745533,0.0005548769,0.0006558642],"domain_scores_gemma":[0.9967574,0.0007095237,0.0009481626,0.0007337634,0.0005637476,0.0002874337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.240806e-7,0.000009391312,1.815284e-7,0.39408,0.0006576647,0.0000214534,0.00004756749,0.0004158663,0.00000759032,0.0004916788,0.000912281,0.6033558],"study_design_scores_gemma":[0.00002937985,0.00004900011,0.000002248639,0.3311328,0.002509078,0.001834397,0.0000564333,0.009931657,0.000008143652,0.0001219454,0.6537033,0.0006215928],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001553985,0.8798006,0.1118383,0.000004697756,0.003915097,0.003341742,0.0002500411,0.0007132507,0.0001346935],"genre_scores_gemma":[0.0000990071,0.9928015,0.003497411,0.000003115523,0.001360646,0.001628265,0.00003153958,0.0004304768,0.0001480427],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.652791,"threshold_uncertainty_score":0.9994086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06766140901779084,"score_gpt":0.3286186321836675,"score_spread":0.2609572231658767,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}